Viral Parekh

Data-Scientist at Flipkart, Maker, Foodie.



About Me

At Flipkart, I am working on Image attribute extraction, Object detection, and automation of catalog quality check process using Computer Vision and Deep Learning-based methods. In my other projects, I have worked on image Super-Resolution and other image enhancement techniques.

I have completed my MS from IIIT-Hyderabad under the guidance of Prof. C. V. Jawahar and Dr. Ramanathan Subramanian at Center for Visual Information Technology (CVIT) with primary area of research in Computer Vision and Human-Computer Interface.

Prior to my Masters, I worked as a Software Engineer at Samsung Research Institute, Noida(India) for 2 years on Android Telephony Framework. As an independent Android developer, I have published several android applications on Google Play Store with total 3,00,000+ downloads.

Education

Aug 2015 - Present

MS by Research in CSE

International Institute of Information Technology, Hyderabad
CGPA : 8.67 / 10.0

Jun 2009 - May 2013

B.Tech

Institute of Technology, Nirma University, Ahmedabad
CGPA : 8.2 / 10.0

Jun 2008 - May 2009

12th

Gujrat Secondary and Higher Secondary Board of Education
91.8 %
6th rank at district level (Rajkot)

Jun 2008 - May 2009

10th

Gujrat Secondary and Higher Secondary Board of Education
91.38 %

Experience

Jun 2013 - Jul 2015 …

-->

Jul 2018 - Present

Data Scientist,
Flipkart

  • Working with Catalog team for building Machine Learning based solutions to automate quality and compliance checks on seller data as well as product image enhancement.

Jan 2018 - May 2018

Intern Analyst,
Goldman Sachs

  • Worked on automation of IG boand origination.

Jun 2013 - Jul 2015

Software Engineer,
Samsung R&D Institute, India

  • Worked on Android Telephony Framework, Radio Interface Layer(RIL) , IMS Interface Layerfor flagship models like Galaxy S5, S6 and Note 4

  • Worked on-site in USA for various flagship projects of Samsung for U.S. Cellular
    • and Sprin

Dec 2012 - May 2013

Intern,
Samsung R&D Institute, India

  • Made prototypes of Android applications and worked on Android Telephony Framework

May 2012 - Jul 2012

Intern,
Azoi Inc.

  • Implemented a channel finder application in OpenCV for Android Smart TV

  • Developed a prototype to demonstrate the working of grid navigation User Interface using Kinect

Projects

PROJECTS DURING INTERNSHIP

  1. Gesture Reorganization for specially abled people
    • Platform: JAVA
    • Hardware: Microsoft Kinect, prime sense
    A gesture recognition system for specially abled people to help them to interact efficiently. System contains predefined set of gestures. On recognition of particular gesture a callback is generated and voice clip associated with gesture is played
  2. Image Grabbing From TV-Tuner card of web came for Android platform
    • Platform: Android, C, JAVA
    TV tuner card is connected to android enabled device [tablet /smart phone/ panda board]. Fetching Image buffer form video device using Video4linux library and saving it to use in other application
  3. Channel finder application
    • Platform: JAVA
    This is Active content recognition software. This consists of two parts. A Client application running on client machine and a server. That will find out which channel is running on client
  4. Interactive Android Assistant
    • Platform: Android, JAVA
    This is an Android application. An animated boot is presented on the screen. This will interact with user via voice commands and feedback. Proper animation is presented based on voice command and situation.

Publications

  1. AVEID: Automatic Video System for Measuring Engagement In Dementia, IUI 2018 [ https://doi.org/10.1145/3172944.3173010] __Viral Parekh__, Pin Foong, Shen Zhao and Ramanathan Subramanian

  2. An EEG-based Image Annotation System, NCVPRIPG 2017, [Best poster award] [http://doi.org/10.1007/978-981-13-0020-2] Viral Parekh, Ramanathan Subramanian, Dipanjan Roy and C. V. Jawahar

  3. Investigating the Generalizability of EEG-based Cognitive Load Estimation Across Visualizations, ICMI 2018 [http://doi.acm.org/10.1145/3281151.3281160] Viral Parekh, Maneesh Bilalpur, Shravan Kumar, Stefan Winkler, C.V. Jawahar and Ramanathan Subramanian

  4. Eye Contact Detection via Deep Neural Networks, HCI International 2017 [http://doi.org/10.1007/978-3-319-58750-9_51] Viral Parekh, Ramanathan Subramanian and C. V. Jawahar

*- indicates equal contribution

Resume